Real-time Speech Recognition Using Hidden Markov Models

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (225 download)

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Book Synopsis Real-time Speech Recognition Using Hidden Markov Models by : Michael Mason

Download or read book Real-time Speech Recognition Using Hidden Markov Models written by Michael Mason and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Application of Hidden Markov Models in Speech Recognition

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Publisher : Now Publishers Inc
ISBN 13 : 1601981201
Total Pages : 125 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis The Application of Hidden Markov Models in Speech Recognition by : Mark Gales

Download or read book The Application of Hidden Markov Models in Speech Recognition written by Mark Gales and published by Now Publishers Inc. This book was released on 2008 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Application of Hidden Markov Models in Speech Recognition presents the core architecture of a HMM-based LVCSR system and proceeds to describe the various refinements which are needed to achieve state-of-the-art performance.

Real-time Speech Recognition with Style Compensation Using Hidden Markov Models

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Publisher :
ISBN 13 :
Total Pages : 114 pages
Book Rating : 4.:/5 (428 download)

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Book Synopsis Real-time Speech Recognition with Style Compensation Using Hidden Markov Models by : Abdul Ghaffar

Download or read book Real-time Speech Recognition with Style Compensation Using Hidden Markov Models written by Abdul Ghaffar and published by . This book was released on 1994 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Motion-Based Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 9780792346180
Total Pages : 396 pages
Book Rating : 4.3/5 (461 download)

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Book Synopsis Motion-Based Recognition by : Mubarak Shah

Download or read book Motion-Based Recognition written by Mubarak Shah and published by Springer Science & Business Media. This book was released on 1997-07-31 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing.

Robust Speech Recognition Using Hidden Markov Models

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ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (212 download)

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Book Synopsis Robust Speech Recognition Using Hidden Markov Models by : Clifford Joseph Weinstein

Download or read book Robust Speech Recognition Using Hidden Markov Models written by Clifford Joseph Weinstein and published by . This book was released on 1990 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report presents an overview of a program of speech recognition research which was initiated in 1985 with the major goal of developing techniques for robust high performance speech recognition under the stress and noise conditions typical of a military aircraft cockpit. The work on recognition in stress and noise during 1985 and 1986 produced a robust Hidden Markov Model (HMM) isolated-word recognition (IWR) system with 99 percent speaker-dependent accuracy for several difficult stress/noise data bases, and very high performance for normal speech. Robustness techniques which were developed and applied include multi-style training, robust estimation of parameter variances, perceptually-motivated stress-tolerant distance measures, use of time-differential speech parameters, and discriminant analysis. These techniques and others produced more than an order-of-magnitude reduction in isolated-work recognition error rate relative to a baseline HMM system. An important feature of the Lincoln HMM system has been the use of continuous-observation HMM techniques, which provide a good basis for the development of the robustness techniques, and avoid the need for a vector quantizer at the input to the HMM system. Beginning in 1987, the robust HMM system has been extended to continuous speech recognition for both speaker-dependent and speaker-independent tasks. The robust HMM continuous speech recognizer was integrated in real-time with a stressing simulated flight task, which was judged to be very realistic by a number of military pilots. (kr).

Speech Recognition Using Hidden Markov Models with Exponential Interpolation of State Parameters

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (594 download)

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Book Synopsis Speech Recognition Using Hidden Markov Models with Exponential Interpolation of State Parameters by : Adam Wieworka

Download or read book Speech Recognition Using Hidden Markov Models with Exponential Interpolation of State Parameters written by Adam Wieworka and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hidden Markov Models, Maximum Mutual Information Estimation, and the Speech Recognition Problem

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Publisher : National Library of Canada = Bibliothèque nationale du Canada
ISBN 13 :
Total Pages : 180 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Hidden Markov Models, Maximum Mutual Information Estimation, and the Speech Recognition Problem by : Yves Normandin

Download or read book Hidden Markov Models, Maximum Mutual Information Estimation, and the Speech Recognition Problem written by Yves Normandin and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 1991 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Speech Recognition Using Hidden Markov Models in Noisy Environments

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Publisher :
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4.:/5 (277 download)

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Book Synopsis Speech Recognition Using Hidden Markov Models in Noisy Environments by : Dave von Hausen

Download or read book Speech Recognition Using Hidden Markov Models in Noisy Environments written by Dave von Hausen and published by . This book was released on 1992 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Speech Recognition Using Hidden Markov Model

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Publisher :
ISBN 13 :
Total Pages : 70 pages
Book Rating : 4.:/5 (949 download)

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Book Synopsis Speech Recognition Using Hidden Markov Model by :

Download or read book Speech Recognition Using Hidden Markov Model written by and published by . This book was released on 2006 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Isolated Word Speech Recognition Using Partially Hidden Markov Models

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Publisher :
ISBN 13 :
Total Pages : 19 pages
Book Rating : 4.:/5 (473 download)

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Book Synopsis Isolated Word Speech Recognition Using Partially Hidden Markov Models by : J. Aaen

Download or read book Isolated Word Speech Recognition Using Partially Hidden Markov Models written by J. Aaen and published by . This book was released on 1995 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Isolated Word Speech Recognition Using Hidden Markov Models

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (96 download)

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Book Synopsis Isolated Word Speech Recognition Using Hidden Markov Models by : Soon Chieh Lim

Download or read book Isolated Word Speech Recognition Using Hidden Markov Models written by Soon Chieh Lim and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Connectionist Speech Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 1461532108
Total Pages : 329 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Connectionist Speech Recognition by : Hervé A. Bourlard

Download or read book Connectionist Speech Recognition written by Hervé A. Bourlard and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e. HMM emission probability estimation and feature extraction. The book describes a successful five-year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems. Using standard databases and comparison with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods. Connectionist Speech Recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. The book is also suitable as a text for advanced courses on neural networks or speech processing.

Report IT.

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (912 download)

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Book Synopsis Report IT. by :

Download or read book Report IT. written by and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Speaker Independent Speech Recognition Using Hidden Markov Models

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (96 download)

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Book Synopsis Speaker Independent Speech Recognition Using Hidden Markov Models by : Fong Shien Lee

Download or read book Speaker Independent Speech Recognition Using Hidden Markov Models written by Fong Shien Lee and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Isolated-word Speech Recognition System Using Hidden Markov Models

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Publisher :
ISBN 13 :
Total Pages : 166 pages
Book Rating : 4.:/5 (29 download)

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Book Synopsis An Isolated-word Speech Recognition System Using Hidden Markov Models by : William A. Bella

Download or read book An Isolated-word Speech Recognition System Using Hidden Markov Models written by William A. Bella and published by . This book was released on 1989 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hidden Markov Models for Speech Recognition

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Publisher :
ISBN 13 : 9780748601622
Total Pages : 276 pages
Book Rating : 4.6/5 (16 download)

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Book Synopsis Hidden Markov Models for Speech Recognition by : X. D. Huang

Download or read book Hidden Markov Models for Speech Recognition written by X. D. Huang and published by . This book was released on 1990-01-01 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Speech recognition using Hidden Markov Models with exponential interpolation

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (99 download)

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Book Synopsis Speech recognition using Hidden Markov Models with exponential interpolation by : Adam Wiewiorka

Download or read book Speech recognition using Hidden Markov Models with exponential interpolation written by Adam Wiewiorka and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: